Evidence map›Paper›PMID 39330524›Full record

ArticleMembranes2024

Simulating the Permeation of Toxic Chemicals through Barrier Materials.

Alex Bicket, Vivian Lau, Jules Thibault

Abstract read
In one paragraph

Article in Membranes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Advanced Bio-Membrane Technologies for Water Treatment: Mechanisms, Challenges, and Future Prospects-A Comprehensive Critical Review.Water environment research : a research publication of the Water Environment Federation · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alex BicketDepartment of Chemical and Biological Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Vivian LauDefence Research and Development Canada, Ralston, AB T1A 8K6, Canada.ORCID 0000-0002-7668-634X
Jules ThibaultDepartment of Chemical and Biological Engineering, University of Ottawa, Ottawa, ON K1N 6N5, Canada.ORCID 0000-0001-6503-3688

Funding

Natural Science and Engineering Research Council 451 (NSERC) Canada Discovery Grant (DG), grant number RGPIN-2018-04433
6 · The paper itself

Abstract

Chemical warfare agents that are liquids with low vapor pressure pose a contact hazard to anyone who encounters them. Personal protective equipment (PPE) is utilized to ensure safe interaction with these agents. A commonly used method to characterize the permeability of PPE towards chemical weapons is to apply droplets of the liquid agent to the surface of the material and measure for chemical breakthrough. However, this method could produce errors in the estimated values of the transport properties. In this paper, we solved numerically the three-dimensional cylindrical Fick's second law of diffusion for a liquid permeating through a non-porous rubbery membrane to determine the time the permeating species will emerge on the other side of the polymer membrane. Simulations of different amounts of surface area coverage and the geometries of permeate on the membrane surface indicated that incomplete surface area coverage affects the estimation of the transport properties, making the experimentally determined transport properties unsuitable for predictive use. We simulated different permeation values to determine the factors that most influenced the estimation error and if the error was consistent over different permeate-membrane combinations. Finally, a method to correct the experimentally determined permeability is suggested.

Indexed as

Fickian diffusionliquid coverage patternmaterial propertiesnumerical simulationpersonal protective equipment

Identifiers

PMID39330524
PMCPMC11433684

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.